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Record W4396832328 · doi:10.1145/3613904.3642330

The Effects of Update Interval and Reveal Method on Writer Comfort in Synchronized Shared-Editors

2024· article· en· W4396832328 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicOpen Source Software Innovations
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsComputer scienceObserver (physics)Interval (graph theory)Control (management)Human–computer interactionWork (physics)MultimediaArtificial intelligenceMathematicsEngineering

Abstract

fetched live from OpenAlex

Synchronized shared-editors like Google Docs allow people to write together, but there is no “privacy of writing” which can make writers feel uncomfortable. We propose methods to give writers more control over when and how their edits are shown to collaborators to increase comfort. These are in the form of different update strategies composed of an update interval and a reveal method. Results from an experiment with simulated observers show that alternative update strategies can be beneficial, each having their own pros and cons. A follow-up experiment with writer and observer pairs validates these findings and shows that observers are amenable to experiencing short delays caused by alternative update strategies. Our work shows that synchronous writing tools should support alternative update strategies that preserve both collaborator awareness and writer comfort.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.749
Threshold uncertainty score0.259

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.007
GPT teacher head0.289
Teacher spread0.281 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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